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Using Dynamic Bayesian Networks for a Decision Support System Application to the Monitoring of Patients Treated by Hemodialysis

Chérif Smaili 1 Cédric Rose 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. Dynamic Bayesian networks are an extension of Bayesian networks for modeling dynamic processes. In this paper we present a decision support system based on a dynamic Bayesian network. Its purpose is to monitor the dry weight of patients suffering from chronic renal failure treated by hemodialysis.
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https://hal.inria.fr/inria-00000474
Contributor : Cédric Rose <>
Submitted on : Friday, October 21, 2005 - 2:54:19 PM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM
Long-term archiving on: : Thursday, April 1, 2010 - 10:52:36 PM

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  • HAL Id : inria-00000474, version 1

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Chérif Smaili, Cédric Rose, François Charpillet. Using Dynamic Bayesian Networks for a Decision Support System Application to the Monitoring of Patients Treated by Hemodialysis. 1st International Computer Systems & Information Technology Conference - ICSIT'05, Jul 2005, Alger, Algérie. ⟨inria-00000474⟩

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